| Overview of the TREC 2016 Open Search track: Academic Search Edition K Balog, A Schuth, P Dekker, P Schaer, N Tavakolpoursaleh, PY Chuang, ... Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016). NIST, 2016 | 20 | 2016 |
| Reconstructing language ancestry by performing word prediction with neural networks P Dekker Amsterdam: University of Amsterdam Master, 2018 | 10 | 2018 |
| Word prediction in computational historical linguistics P Dekker, W Zuidema Journal of Language Modelling 8 (2), 295–336, 2021 | 9 | 2021 |
| Neural agentbased models to study language contact using linguistic data P Dekker, B De Boer 4th NeurIPS Workshop on Emergent Communication: Talking to Strangers: Zero …, 2020 | 4 | 2020 |
| Crowdsourcing Language Resources for Dutch using PYBOSSA: Case Studies on Blends, Neologisms and Language Variation P Dekker, T Schoonheim Proceedings of the enetCollect WG3&WG5 Meeting, 24-25 October 2018, Leiden …, 2018 | 1 | 2018 |
| 3SG is the most conservative subject marker across languages: An exploratory study of rate of change P Dekker, S Gipper, B De Boer International Conference on the Evolution of Language XV 2024, 2024 | | 2024 |
| The role of generalisation in an Adaptive Resonance Theory model of learning inflection classes P Dekker, H Rasilo, B De Boer International Conference on the Evolution of Language XV 2024, 2024 | | 2024 |
| Language-specific and universal factors behind morphological simplification: An agent-based modelling study of Alorese P Dekker, M Klamer, B De Boer Joint Conference on Language Evolution, 57-59, 2022 | | 2022 |
| Linguistic enrichment of historical Dutch using deep Learning S Creten, P Dekker, V Vandeghinste Computational Linguistics in the Netherlands Journal 10, 57-72, 2020 | | 2020 |
| Determining Dutch dialect phylogeny using bayesian inference P Dekker | | 2014 |
Philipp SchaerTH Köln - University of Applied SciencesVerified email at th-koeln.de
